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房地产业与相关产业关联度分析
引用本文:孔凡文,刘宁,娄春媛子.房地产业与相关产业关联度分析[J].沈阳建筑工程学院学报(自然科学版),2005,21(3):285-288.
作者姓名:孔凡文  刘宁  娄春媛子
作者单位:[1]沈阳建筑大学管理学院,辽宁沈阳110168 [2]中建正和建筑机械施工有限公司,北京100012
基金项目:国家建设部科技项目[(2005)1-2-9]
摘    要:目的分析房地产业与相关产业的关联程度和排序,为制定合理的房地产业及相关产业发展政策和战略提供参考.方法运用灰色系统理论和方法建立灰色综合评判模型,并结合特尔菲法计算出房地产业与相关产业的关联度系数,对房地产业与相关产业的关联度进行定量分析.结果房地产业与建筑业关联度最大。关联系数为0.65.此外,房地产业与金融、保险业、制造业、电力、煤气及水的生产和供应业、社会服务业、交通运输、仓储及邮电通信业、批发和零售贸易、餐饮业等也有很高的关联度,其关联系数分别为0.51、0.48、0.47、0.41、0.33、0.30.结论房地产业是高关联度的产业,房地产业成为国民经济支柱产业是必然的.

关 键 词:房地产业  相关产业  关联度分析  综合评判模型  灰色系统理论  关联系数  关联程度  发展政策  特尔菲法  定量分析  交通运输  支柱产业  国民经济  建筑业  保险业  制造业  服务业  通信业  餐饮业  金融  供应  社会  邮电  仓储  贸易  零售
文章编号:1671-2021(2005)03-0285-04
修稿时间:2004年12月18

Analysis on the Relational Grade between Real Estate and the Correlative Industries
KONG Fan-wen,LIU Ning,LOU Chunyuanzi.Analysis on the Relational Grade between Real Estate and the Correlative Industries[J].Journal of Shenyang Archit Civil Eng Univ: Nat Sci,2005,21(3):285-288.
Authors:KONG Fan-wen  LIU Ning  LOU Chunyuanzi
Affiliation:KONG Fan-wen~1,LIU Ning~1,LOU Chunyuanzi~2
Abstract:This paper analyzes the relational grade between real estate and the correlative industries,in order to provide reference for the decision-making of real estate and the correlative industries development.Adopted grey comprehensive evaluation model and Delphi to calculate the relational coefficient between real estate and the correlative industries.The relational grade of real estate and construction is the highest,and its relational coefficient is 0.65.Other higher relational grade coefficients between real estate and the correlative industries are finance and insurance (0.51),manufacturing (0.48),production and supply of electric power,gas and water (0.47),social services (0.41),transport,storage,post and telecommunication services (0.33) and wholesale and retail trade (0.30).Real estate is a high relational grade industry and it must be the pillar industry of national economy.
Keywords:real estate  correlative industries  relational grade  grey comprehensive evaluation model
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